Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures

Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures

Background and Purpose: Erectile dysfunction (ED) affects quality of life following radiotherapy for prostate cancer. Magnetic resonance imaging (MRI) planning provides superior visualization of potency-related anatomical structures compared to computed tomography (CT), enabling improved sparing. Ho...

Full description

Saved in:
Bibliographic Details
Main Authors: Philipp Schubert, Matthias May, Daniel Höfler, Hans-Peter Fautz, Jana Hutter, Ricarda Merten, Sina Mansoorian, Thomas Weissmann, Lisa Deloch, Miriam Schonath, Nathalia Belmas, Felix Grabenbauer, Benjamin Frey, Udo Gaipl, Bernd-Niklas Axer, Juliane Szkitsak, Michael Uder, Christoph Bert, Rainer Fietkau, Florian Putz
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Prostate cancer
Radiotherapy
SBRT
MR-guided
Deep learning
Neurovascular structures
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631625001307
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items